Market Recap July 1, 2026

WITH prior AS (
    SELECT ticker, argMax(close, window_start) AS prior_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
      AND window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
    GROUP BY ticker
),
sess AS (
    SELECT ticker,
           argMin(open, window_start) AS day_open,
           argMax(close, window_start) AS day_close,
           max(high) AS day_high,
           min(low) AS day_low,
           round(toFloat64(sum(volume)) / 1e6, 1) AS shares_traded_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
      AND window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'
    GROUP BY ticker
)
SELECT
    s.ticker AS ticker,
    round(toFloat64(p.prior_close), 2) AS prior_close,
    round(toFloat64(s.day_open), 2) AS day_open,
    round(toFloat64(s.day_close), 2) AS day_close,
    round((toFloat64(s.day_close) / toFloat64(p.prior_close) - 1) * 100, 2) AS pct_change,
    round(toFloat64(s.day_high), 2) AS day_high,
    round(toFloat64(s.day_low), 2) AS day_low,
    s.shares_traded_m AS shares_traded_m
FROM sess s
JOIN prior p ON s.ticker = p.ticker
ORDER BY s.ticker

SELECT round(anyIf(oc_pct, d = toDate('2026-07-01')), 2) AS day_move_pct,
       arrayCount(x -> x > abs(anyIf(oc_pct, d = toDate('2026-07-01'))), groupArrayIf(abs(oc_pct), d != toDate('2026-07-01'))) + 1 AS abs_move_rank,
       count() AS sessions_compared,
       toString(min(d)) AS first_session
FROM (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           (argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS oc_pct
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2026-06-01 00:00:00')
      AND window_start < toDateTime('2026-07-02 00:00:00')
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    GROUP BY d
)

WITH per_name AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-07-01 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-01 00:00:00')) AS day_close,
        maxIf(toFloat64(high), window_start >= '2026-07-01 00:00:00') AS day_high,
        minIf(toFloat64(low), window_start >= '2026-07-01 00:00:00') AS day_low
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'SVXY', 'UVXY', 'VIXY', 'VXX')
      AND ((window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00')
        OR (window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_close, 2) AS day_close,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    round((day_high / day_low - 1) * 100, 2) AS range_pct
FROM per_name
ORDER BY ticker

WITH per_ticker AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-07-01 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-01 00:00:00')) AS day_close,
        maxIf(toFloat64(high), window_start < '2026-07-01 00:00:00') AS quarter_high,
        minIf(toFloat64(low), window_start < '2026-07-01 00:00:00') AS quarter_low,
        maxIf(toFloat64(high), window_start >= '2026-07-01 00:00:00') AS day_high,
        minIf(toFloat64(low), window_start >= '2026-07-01 00:00:00') AS day_low,
        sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-01 00:00:00') AS day_dollar_volume,
        countIf(window_start < '2026-07-01 00:00:00') AS quarter_bars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ((window_start >= '2026-04-01 13:30:00' AND window_start < '2026-06-30 20:00:00')
        OR (window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'))
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    GROUP BY ticker
)
SELECT
    countIf(day_close > prior_close AND day_dollar_volume >= 1000000) AS advancers,
    countIf(day_close < prior_close AND day_dollar_volume >= 1000000) AS decliners,
    countIf(day_close = prior_close AND day_dollar_volume >= 1000000) AS unchanged,
    round(100.0 * countIf(day_close > prior_close AND day_dollar_volume >= 1000000)
        / countIf(day_dollar_volume >= 1000000), 1) AS advancer_pct,
    countIf(day_dollar_volume >= 1000000 AND quarter_bars >= 1000 AND day_high > quarter_high) AS new_quarter_highs,
    countIf(day_dollar_volume >= 1000000 AND quarter_bars >= 1000 AND day_low < quarter_low) AS new_quarter_lows,
    round(countIf(day_dollar_volume >= 1000000 AND quarter_bars >= 1000 AND day_high > quarter_high)
        / countIf(day_dollar_volume >= 1000000 AND quarter_bars >= 1000 AND day_low < quarter_low), 1) AS highs_per_low,
    countIf(day_dollar_volume >= 1000000 AND quarter_bars >= 1000) AS names_with_a_full_quarter,
    countIf(day_dollar_volume >= 1000000) AS liquid_tickers,
    count() AS tickers_traded_both_sessions,
    count() - countIf(day_dollar_volume >= 1000000) AS dropped_by_liquidity_filter,
    countIf(day_dollar_volume >= 1000000 AND quarter_bars < 1000) AS dropped_short_quarter_history
FROM per_ticker
WHERE prior_close > 0 AND day_close > 0

WITH per_name AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-07-01 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-01 00:00:00')) AS day_close,
        round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-01 00:00:00') / 1e9, 2) AS day_dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('XLB', 'XLC', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
      AND ((window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00')
        OR (window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_close, 2) AS day_close,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    round((day_close / prior_close - 1) * 100 - min((day_close / prior_close - 1) * 100) OVER (), 2) AS pct_above_worst_sector,
    sum(if(day_close > prior_close, 1, 0)) OVER (ORDER BY (day_close / prior_close) DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS green_so_far,
    day_dollar_bn
FROM per_name
ORDER BY pct_chg DESC

WITH per_name AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-07-01 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-01 00:00:00')) AS day_close,
        maxIf(toFloat64(high), window_start >= '2026-07-01 00:00:00') AS day_high,
        minIf(toFloat64(low), window_start >= '2026-07-01 00:00:00') AS day_low,
        argMinIf(window_start, (toFloat64(low), toInt64(toUnixTimestamp(window_start))), window_start >= '2026-07-01 00:00:00') AS low_bar,
        argMaxIf(window_start, (toFloat64(high), -toInt64(toUnixTimestamp(window_start))), window_start >= '2026-07-01 00:00:00') AS high_bar,
        round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-01 00:00:00') / 1e9, 2) AS day_dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AMD', 'META', 'MRVL', 'MU', 'NVDA', 'SNDK', 'STX', 'WDC')
      AND ((window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00')
        OR (window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_close, 2) AS day_close,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    formatDateTime(toTimeZone(high_bar, 'America/New_York'), '%H:%i') AS day_high_et,
    formatDateTime(toTimeZone(low_bar, 'America/New_York'), '%H:%i') AS day_low_et,
    toHour(toTimeZone(low_bar, 'America/New_York')) * 60 + toMinute(toTimeZone(low_bar, 'America/New_York')) AS low_minute_et,
    round((day_high / day_low - 1) * 100, 2) AS range_pct,
    day_dollar_bn
FROM per_name
ORDER BY ticker

SELECT published_et, publisher, names_tagged, headline
FROM (
    SELECT
        published_utc,
        formatDateTime(toTimeZone(published_utc, 'America/New_York'), '%H:%i') AS published_et,
        JSONExtractString(publisher, 'name') AS publisher,
        arrayStringConcat(arrayFilter(x -> x IN ('MU', 'SNDK', 'STX', 'WDC', 'META'), tickers), ' ') AS names_tagged,
        substring(title, 1, 72) AS headline
    FROM global_markets.stocks_news
    WHERE published_utc >= '2026-07-01 04:00:00' AND published_utc < '2026-07-02 04:00:00'
      AND hasAny(tickers, ['MU', 'SNDK', 'STX', 'WDC', 'META'])
      AND NOT has(tickers, 'SPCX')
      AND position(title, 'SPCX') = 0
    ORDER BY published_utc DESC
    LIMIT 12
)
ORDER BY published_utc ASC

SELECT ticker, leaderboard, dollar_volume_bn, if(dollar_volume_bn < 1, dollar_volume_m, NULL) AS dollar_value_m, shares_m,
    round(100 * if(leaderboard = 'by dollars traded', dollar_volume_bn, shares_m)
        / max(if(leaderboard = 'by dollars traded', dollar_volume_bn, shares_m)) OVER (PARTITION BY leaderboard), 1) AS pct_of_board_leader
FROM (
    SELECT
        'by dollars traded' AS leaderboard,
        ticker,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_volume_bn,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e6, 0) AS dollar_volume_m,
        round(sum(toFloat64(volume)) / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    ORDER BY dollar_volume_bn DESC
    LIMIT 6
    UNION ALL
    SELECT
        'by shares traded' AS leaderboard,
        ticker,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_volume_bn,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e6, 0) AS dollar_volume_m,
        round(sum(toFloat64(volume)) / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    ORDER BY shares_m DESC
    LIMIT 4
)
ORDER BY leaderboard ASC, if(leaderboard = 'by dollars traded', dollar_volume_bn, shares_m) DESC

WITH
    (
        SELECT (any(underlying_symbol), any(toFloat64(strike_price)), any(option_type),
                sum(size), round(avg(toFloat64(price)), 3),
                any(if(substring(ticker, length(ticker) - 14, 6) = '260701', 1, 0)))
        FROM global_markets.options_trades
        WHERE sip_timestamp >= '2026-07-01 00:00:00' AND sip_timestamp < '2026-07-02 00:00:00'
        GROUP BY ticker
        ORDER BY sum(size) DESC, ticker ASC
        LIMIT 1
    ) AS top_contract,
    (
        SELECT round(toFloat64(argMax(close, window_start)), 2)
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'
    ) AS spy_regular_close
SELECT
    round(count() / 1e6, 2) AS option_prints_m,
    round(toFloat64(sum(size)) / 1e6, 2) AS contracts_m,
    round(100.0 * sumIf(size, option_type = 'C') / sum(size), 1) AS call_pct_of_volume,
    round(sumIf(toFloat64(size), option_type = 'P') / sumIf(toFloat64(size), option_type = 'C'), 2) AS put_call_ratio,
    round(100.0 * sumIf(size, substring(ticker, length(ticker) - 14, 6) = '260701') / sum(size), 1) AS same_day_expiry_pct,
    round(toFloat64(sumIf(size, substring(ticker, length(ticker) - 14, 6) = '260702')) / 1e6, 2) AS thu_jul2_expiry_contracts_m,
    countIf(substring(ticker, length(ticker) - 14, 6) = '260703') AS fri_jul3_expiry_prints,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'P')) / 1e6, 2) AS spy_put_contracts_m,
    round(100.0 * sumIf(size, underlying_symbol = 'SPY' AND option_type = 'P' AND toFloat64(strike_price) < spy_regular_close * 0.98)
        / sumIf(size, underlying_symbol = 'SPY' AND option_type = 'P'), 1) AS spy_puts_2pct_below_pct,
    round(100.0 * sumIf(size, underlying_symbol = 'SPY' AND option_type = 'C' AND toFloat64(strike_price) > spy_regular_close * 1.02)
        / sumIf(size, underlying_symbol = 'SPY' AND option_type = 'C'), 1) AS spy_calls_2pct_above_pct,
    round(sumIf(toFloat64(size), underlying_symbol = 'MU' AND option_type = 'P')
        / sumIf(toFloat64(size), underlying_symbol = 'MU' AND option_type = 'C'), 2) AS mu_put_call_ratio,
    round(sumIf(toFloat64(size), underlying_symbol = 'META' AND option_type = 'P')
        / sumIf(toFloat64(size), underlying_symbol = 'META' AND option_type = 'C'), 2) AS meta_put_call_ratio,
    top_contract.1 AS top_contract_underlying,
    top_contract.2 AS top_contract_strike,
    top_contract.3 AS top_contract_type,
    top_contract.4 AS top_contract_volume,
    reverse(arrayStringConcat(extractAll(reverse(toString(assumeNotNull(top_contract.4))), '\\d{1,3}'), ',')) AS top_contract_volume_fmt,
    round(top_contract.5, 3) AS top_contract_avg_price,
    top_contract.6 AS top_contract_is_same_day,
    round(top_contract.2 - spy_regular_close, 2) AS top_strike_minus_spy_close,
    spy_regular_close AS spy_close
FROM global_markets.options_trades
WHERE sip_timestamp >= '2026-07-01 00:00:00' AND sip_timestamp < '2026-07-02 00:00:00'

SELECT
    t.1 AS curve_point,
    round(t.2, 2) AS jul1_yield_pct,
    round((t.2 - t.3) * 100) AS one_day_change_bp
FROM (
    SELECT arrayJoin([
        ('1 month',  toFloat64(d.yield_1_month),  toFloat64(p.yield_1_month)),
        ('3 month',  toFloat64(d.yield_3_month),  toFloat64(p.yield_3_month)),
        ('1 year',   toFloat64(d.yield_1_year),   toFloat64(p.yield_1_year)),
        ('2 year',   toFloat64(d.yield_2_year),   toFloat64(p.yield_2_year)),
        ('5 year',   toFloat64(d.yield_5_year),   toFloat64(p.yield_5_year)),
        ('10 year',  toFloat64(d.yield_10_year),  toFloat64(p.yield_10_year)),
        ('30 year',  toFloat64(d.yield_30_year),  toFloat64(p.yield_30_year)),
        ('2s10s spread', toFloat64(d.yield_10_year - d.yield_2_year), toFloat64(p.yield_10_year - p.yield_2_year))
    ]) AS t
    FROM (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-07-01') AS d,
         (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-06-30') AS p
)

WITH
    (
        SELECT (count(), uniqExact(publisher))
        FROM global_markets.stocks_news
        WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-07-01'
    ) AS news,
    (
        SELECT (argMax(t, n), max(n))
        FROM (
            SELECT t, count() AS n
            FROM (
                SELECT arrayJoin(tickers) AS t
                FROM global_markets.stocks_news
                WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-07-01'
            )
            WHERE t != 'SPCX'
            GROUP BY t
        )
    ) AS top_news
SELECT
    (SELECT count() FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS ex_dividend_records,
    (SELECT countIf(frequency = 12) FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS monthly_payers,
    (SELECT countIf(frequency = 4) FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS quarterly_payers,
    (SELECT round(100.0 * countIf(frequency = 12) / count(), 1) FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS monthly_payer_pct,
    (SELECT count() FROM global_markets.stocks_splits WHERE execution_date = '2026-07-01') AS splits_executed,
    (SELECT count() FROM global_markets.stocks_ipos WHERE listing_date = '2026-07-01') AS ipos_listed,
    (SELECT uniqExact(accession_number) FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-01') AS sec_filings,
    (SELECT uniqExactIf(accession_number, form_type = '4') FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-01') AS insider_form4_filings,
    (SELECT uniqExactIf(accession_number, form_type = '8-K') FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-01') AS filings_8k,
    (SELECT arrayStringConcat(groupArray(concat(ticker, ' — ', issuer_name)), '; ') FROM (
        SELECT ticker, issuer_name FROM global_markets.stocks_ipos WHERE listing_date = '2026-07-01' ORDER BY ticker
    )) AS ipo_names,
    news.1 AS news_articles,
    news.2 AS news_publishers,
    top_news.1 AS most_covered_ticker,
    top_news.2 AS most_covered_articles

WITH divs AS (
    SELECT ticker, max(toFloat64(cash_amount)) AS cash, max(frequency) AS freq
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date = '2026-07-01' AND distribution_type = 'recurring'
    GROUP BY ticker
),
tape AS (
    SELECT ticker,
           sum(toFloat64(close) * toFloat64(volume)) AS dollar_volume,
           toFloat64(argMax(close, (window_start, close))) AS day_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
)
SELECT
    d.ticker AS ticker,
    round(d.cash, 4) AS cash_per_share,
    d.freq AS payments_per_year,
    round(t.day_close, 2) AS day_close,
    round(100 * d.cash / t.day_close, 2) AS pct_of_price,
    round(100 * d.cash * d.freq / t.day_close, 2) AS annualized_yield_pct,
    round(t.dollar_volume / 1e9, 2) AS day_dollar_bn
FROM divs d JOIN tape t ON d.ticker = t.ticker
WHERE t.dollar_volume > 0 AND d.cash > 0
ORDER BY t.dollar_volume DESC
LIMIT 8

SELECT
    count() AS quarter_opens_measured,
    round(quantileExact(0.5)(oc_pct), 2) AS median_quarter_open_pct,
    countIf(oc_pct > 0) AS quarter_opens_green,
    countIf(oc_pct <= 0) AS quarter_opens_red,
    round(anyIf(oc_pct, first_day = toDate('2026-07-01')), 2) AS jul1_oc_pct,
    arrayCount(x -> x < anyIf(oc_pct, first_day = toDate('2026-07-01')), groupArrayIf(oc_pct, first_day != toDate('2026-07-01'))) + 1 AS jul1_rank_worst_to_best,
    round(min(oc_pct), 2) AS worst_quarter_open_pct,
    round(max(oc_pct), 2) AS best_quarter_open_pct,
    concat(monthName(min(first_day)), ' ', toString(toYear(min(first_day)))) AS first_measured
FROM (
    SELECT f.first_day AS first_day, d.oc_pct AS oc_pct
    FROM (
        SELECT toStartOfQuarter(d) AS q, min(d) AS first_day
        FROM (
            SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d
            FROM global_markets.delayed_stocks_minute_aggs
            WHERE ticker = 'SPY'
              AND window_start >= toDateTime('2004-01-01 00:00:00')
              AND window_start < toDateTime('2026-07-02 00:00:00')
              AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
            GROUP BY d
        )
        GROUP BY q
    ) f
    INNER JOIN (
        SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
               (argMax(toFloat64(close), (window_start, close)) / argMin(toFloat64(open), (window_start, open)) - 1) * 100 AS oc_pct
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY'
          AND window_start >= toDateTime('2004-01-01 00:00:00')
          AND window_start < toDateTime('2026-07-02 00:00:00')
          AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
        GROUP BY d
    ) d ON d.d = f.first_day
)

SELECT
    formatDateTime(min(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS first_spy_bar_et,
    formatDateTime(max(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS last_spy_bar_et,
    count() AS spy_minute_bars,
    countIf(window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00') AS regular_session_bars,
    uniqExactIf(toDate(toTimeZone(window_start, 'America/New_York')), window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00') AS day_sessions,
    (SELECT count() FROM global_markets.stocks_market_holidays WHERE date = '2026-07-01') AS jul1_holiday_rows
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY' AND window_start >= '2026-07-01 00:00:00' AND window_start < '2026-07-02 00:00:00'